Triple
T2907726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minna |
E63605
|
entity |
| Predicate | nearbyCity |
P350
|
FINISHED |
| Object | Suleja |
E309410
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Suleja | Statement: [Minna, nearbyCity, Suleja]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Suleja Context triple: [Minna, nearbyCity, Suleja]
-
A.
Suleja
chosen
Suleja is a town in Niger State, Nigeria, located near the capital Abuja and known as a key gateway between the capital region and the country’s northwestern areas.
-
B.
Gulnare
Gulnare is a central female character in Lord Byron’s narrative poem "The Corsair," known for her courage, passion, and pivotal role in the story’s dramatic events.
-
C.
Shawiya
Shawiya refers to an Amazigh (Berber) ethnic group and their Zenati Berber language spoken primarily in the Aurès Mountains of northeastern Algeria.
-
D.
Dausa
Dausa is a town and district headquarters in the Indian state of Rajasthan, known for its historical forts, stepwells, and proximity to Jaipur.
-
E.
Neilia
Neilia was an American educator best known as the first wife of Joe Biden, who tragically died in a car accident in 1972 along with their infant daughter.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ab4c44ab448190b9411324e8a1fc1d |
completed | March 6, 2026, 9:51 p.m. |
| NER | Named-entity recognition | batch_69abe0d1dcf881909b3ae58d7cdfd9cd |
completed | March 7, 2026, 8:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b08658407c8190ad7798590dd17ef9 |
completed | March 10, 2026, 9 p.m. |
Created at: March 6, 2026, 10:11 p.m.